Semantic segmentation is a fundamental task in computer vision that aims to assign a category to each pixel. Fully convolutional network [1]} and its variants [2]}, [3]}, [4]}, as a practical and straightforward approach to model the semantic segmentation as a pixel-wise classification problem, have dominated this field in the past few years. Recently, MaskFormer [5]} explored to model the semantic segmentation as two sub-tasks: segment generation and segment classification and have shown competitive performance compared to FCN based approaches.
